Nuhil Mehdy nuhil

## Dockerfile.md

      
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                nuhil
                / Dockerfile.md
            
            
              Created
              August 16, 2020 05:58
            
              
                Anatomy of a Dockerfile notes for myself from here: http://www.slideshare.net/dotCloud/building-images-from-dockerfiles-27105810
              
          
    Set the base image to Ubuntu must be first instruction - use docker search to find images
FROM ubuntu # <image>
FROM ubuntu:latest # - <image>:<tag>
FROM ubuntu:precise (LTS)
Set the maintainer info


## jupyter_shortcuts.md

      
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                nuhil
                / jupyter_shortcuts.md
            
            
              Created
              February 28, 2019 23:53
                — forked from kidpixo/jupyter_shortcuts.md
            
              
                Keyboard shortcuts for ipython notebook 3.1.0 / jupyter
              
          
    Toc

Keyboard shortcuts

The IPython Notebook has two different keyboard input modes. Edit mode allows you to type code/text into a cell and is indicated by a green cell border. Command mode binds the keyboard to notebook level actions and is indicated by a grey cell border.
MacOS modifier keys:


⌘  : Command


## simple_cnn_keras_tensorflow.ipynb

      
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                nuhil
                / simple_cnn_keras_tensorflow.ipynb
            
            
              Created
              December 14, 2017 21:52
                — forked from alexcpn/simple_cnn_keras_tensorflow.ipynb
            
          
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## iterm2-solarized.md

      
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                nuhil
                / iterm2-solarized.md
            
            
              Created
              November 8, 2017 02:47
                — forked from kevin-smets/iterm2-solarized.md
            
              
                iTerm2 + Oh My Zsh + Solarized color scheme + Meslo powerline font + [Powerlevel9k] - (macOS)
              
          
    Default


Powerlevel9k


## main.py
from numpy import exp, array, random, dot


class NeuralNetwork():
    def __init__(self):
        # Seed the random number generator, so it generates the same numbers
        # every time the program runs.
        random.seed(1)

        # We model a single neuron, with 3 input connections and 1 output connection.
	from numpy import exp, array, random, dot


	class NeuralNetwork():
	def __init__(self):
	# Seed the random number generator, so it generates the same numbers
	# every time the program runs.
	random.seed(1)

	# We model a single neuron, with 3 input connections and 1 output connection.